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Mendeley readers
Chapter title |
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy
|
---|---|
Chapter number | 76 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46720-7_76 |
Book ISBNs |
978-3-31-946719-1, 978-3-31-946720-7
|
Authors |
Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter Choyke, Peter Pinto, Bradford Wood, Parvin Mousavi, Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter Choyke, Peter Pinto, Bradford Wood, Parvin Mousavi, Purang Abolmaesumi |
Editors |
Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Bachelor | 3 | 23% |
Student > Doctoral Student | 2 | 15% |
Student > Master | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 38% |
Engineering | 4 | 31% |
Agricultural and Biological Sciences | 1 | 8% |
Unknown | 3 | 23% |